Scale-VQA - Explanation: leaderboard
Scale-VQA (Phan et al., 2026) poses multiple-choice pathology questions over regions of TCGA whole-slide images at 10x, 40x and 200x magnification that need evidence from at least two magnifications, screened so that text-only models cannot answer them and validated by pathologists. This board is the 201 test questions of the explanation dimension, one of five cross-scale reasoning dimensions defined with pathologists; accuracy in percent, higher is better.
Metric: Accuracy (%; multiple-choice questions on paired 10x/40x/200x views of TCGA whole-slide images, Scale-VQA test split, 201 explanation questions). Source: arxiv.org. Saturation forecast: Around July 2028. 10 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3 Flash | 53.73 | #159 |
| 2 | GPT-5.2 | 45.77 | #172 |
| 3 | Qwen 2.5 VL 7B Instruct | 44.28 | #1842 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=scale-vqa-explanation · How It Works · Data refreshed daily, snapshot 2026-11-12.